海洋灾害预警数据集入选典型案例

Core Insights - The "Hainan Province Marine Disaster Multi-dimensional Monitoring and Intelligent Forecasting High-Quality Data Set" was officially recognized at the 2025 China International Big Data Industry Expo, highlighting its significance in marine disaster management [1][2] Group 1: Data Set Features - The data set focuses on various marine disasters such as typhoons, storm surges, red tides, waves, and rip currents, enhancing the accuracy, timeliness, and precision of marine disaster forecasts [1] - It integrates GPU-CPU heterogeneous computing, deep learning, and AI models to create a forecasting model covering wind, waves, currents, and storm surges along the Hainan coastline, resulting in approximately 9.6TB of high-quality data [1] Group 2: Technological Breakthroughs - Three significant breakthroughs were achieved: 1. Development of intelligent correction and fine scene interpretation technology, greatly improving the accuracy and timeliness of marine environmental forecast products [1] 2. Enhancement of risk warning and assessment systems for ecological disasters like red tides through a physical-chemical-biological coupling model [1] 3. Implementation of machine vision and dynamic sampling training for intelligent identification of waves and rip currents, improving warning timeliness by approximately 30% [1] Group 3: Data Management and Application - A comprehensive data management mechanism covering "real-time perception—precise forecasting—ecological protection—intelligent control" has been established, currently applied in over 10 marine disaster prevention and control business scenarios [2] - The project promotes efficient circulation and business application of marine data resources through multi-regional collaboration and data sharing mechanisms, providing "Hainan wisdom" and a "data model" for marine disaster prevention and mitigation [2] - This data set is a result of the "Hainan Province Marine Disaster Comprehensive Prevention and Control Capacity Building Project," which is set to be completed and operational by July 2025 [2]